Mathematical Methods applied in Image Enhancement using Matlab

Felipe Resende de Souza, Pedro Américo Almeida Magalhães Júnior

convolution; differential equations; image enhancement; image processing; Kernel; Laplacian; matlab.

In order to characterize complex engineering problems involvinging image data acquisition, different techniques in image processing can be used. One of those techniques is called the Laplacian Filter, commonly used to reduce noise and improving images. Based on that, image segmentation is a widely applied tool in engineering and it can greatly contribute in the acceleration of processes instead of adopting conventional methods, thus providing applications of such technique in the medical, spatial and other sectors linked to engineering. Therefore, this work aims to use image segmentation through differential equations (Laplacian Filter) in different images using Matlab mathematical software in order to enhance images details.

10.22161/ijaers.5.5.39